Relevant bibliographies by topics / Social entropy

Academic literature on the topic 'Social entropy'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Social entropy"

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Huet, Marie-Helene. "Social Entropy." Yale French Studies, no. 92 (1997): 171. http://dx.doi.org/10.2307/2930392.

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Firebaugh, Glenn, and Kenneth D. Bailey. "Social Entropy Theory." Contemporary Sociology 20, no. 1 (January 1991): 151. http://dx.doi.org/10.2307/2072160.

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Zhang, Zhanli. "Coupling entropy of co-processing model on social networks." Modern Physics Letters B 29, no. 25 (September 20, 2015): 1550149. http://dx.doi.org/10.1142/s0217984915501493.

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Coupling entropy of co-processing model on social networks is investigated in this paper. As one crucial factor to determine the processing ability of nodes, the information flow with potential time lag is modeled by co-processing diffusion which couples the continuous time processing and the discrete diffusing dynamics. Exact results on master equation and stationary state are achieved to disclose the formation. In order to understand the evolution of the co-processing and design the optimal routing strategy according to the maximal entropic diffusion on networks, we propose the coupling entropy comprehending the structural characteristics and information propagation on social network. Based on the analysis of the co-processing model, we analyze the coupling impact of the structural factor and information propagating factor on the coupling entropy, where the analytical results fit well with the numerical ones on scale-free social networks.
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Dinga, Emil, Cristina-Roxana Tănăsescu, and Gabriela-Mariana Ionescu. "Social Entropy and Normative Network." Entropy 22, no. 9 (September 20, 2020): 1051. http://dx.doi.org/10.3390/e22091051.

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The paper introduces a new concept of social entropy and a new concept of social order, both based on the normative framework of society. From these two concepts, typologies (logical and historical) of societies are inferred and examined in their basic features. To these ends, some well-known concepts such as entropy, order, system, network, synergy, norm, autopoieticity, fetality, and complexity are revisited and placed into an integrated framework. The core body of this paper addresses the structure and the mechanism of social entropy, understood as an institutionally working counterpart of social order. Finally, this paper concludes that social entropy is an artefact, like society itself, and acts through people’s behavior.
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No authorship indicated. "Review of Social Entropy Theory." Contemporary Psychology: A Journal of Reviews 36, no. 4 (April 1991): 347. http://dx.doi.org/10.1037/029668.

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Mayer, Thomas F. "Social Entropy Theory.Kenneth D. Bailey." American Journal of Sociology 96, no. 6 (May 1991): 1544–46. http://dx.doi.org/10.1086/229700.

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Zhao, Kun, Márton Karsai, and Ginestra Bianconi. "Entropy of Dynamical Social Networks." PLoS ONE 6, no. 12 (December 16, 2011): e28116. http://dx.doi.org/10.1371/journal.pone.0028116.

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Bailey, Kenneth D. "Sociocybernetics and social entropy theory." Kybernetes 35, no. 3/4 (March 2006): 375–84. http://dx.doi.org/10.1108/03684920610653683.

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Bailey, K. D. "Social Entropy Theory: An overview." Systems Practice 3, no. 4 (August 1990): 365–82. http://dx.doi.org/10.1007/bf01063441.

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Sarna, Geetika, and M. P. S. Bhatia. "Entropy Based Identification of Fake Profiles in Social Network." International Journal of Virtual Communities and Social Networking 9, no. 4 (October 2017): 18–30. http://dx.doi.org/10.4018/ijvcsn.2017100102.

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Cyberbullying is a felonious act carried out against the victim by sending harassing/ embarrassing/ abusing information online. Normally offenders create fake profiles in order to hide their identity for unscrupulous activities. Assuming a fake identity is very harmful as the real picture of the offender is not visible, and also it can become difficult to entrap them. Sometimes, some trustworthy friends can also take advantage of the fake identity in order to harm the victim. Culprits can reveal victim's personal information like financial details, personal history, family, etc., and along with it, he can harass, threaten or blackmail the victim using fake profiles and permeates that information on the social network. So, it is necessary to resolve this issue. In this article, the authors used the concept of entropy and cross entropy to identify fake profiles as entropy works on the degree of uncertainty. Also, this article shows the comparison of proposed method with the existing classifiers.
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Dissertations / Theses on the topic "Social entropy"

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Gallagher, Ryan. "Disentangling Discourse: Networks, Entropy, and Social Movements." ScholarWorks @ UVM, 2017. http://scholarworks.uvm.edu/graddis/724.

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Our daily online conversations with friends, family, colleagues, and strangers weave an intricate network of interactions. From these networked discussions emerge themes and topics that transcend the scope of any individual conversation. In turn, these themes direct the discourse of the network and continue to ebb and flow as the interactions between individuals shape the topics themselves. This rich loop between interpersonal conversations and overarching topics is a wonderful example of a complex system: the themes of a discussion are more than just the sum of its parts. Some of the most socially relevant topics emerging from these online conversations are those pertaining to racial justice issues. Since the shooting of Black teenager Michael Brown by White police officer Darren Wilson in Ferguson, Missouri, the protest hashtag #BlackLivesMatter has amplified critiques of extrajudicial shootings of Black Americans. In response to #BlackLivesMatter, other online users have adopted #AllLivesMatter, a counter-protest hashtag whose content argues that equal attention should be given to all lives regardless of race. Together these contentious hashtags each shape clashing narratives that echo previous civil rights battles and illustrate ongoing racial tension between police officers and Black Americans. These narratives have taken place on a massive scale with millions of online posts and articles debating the sentiments of "black lives matter" and "all lives matter." Since no one person could possibly read everything written in this debate, comprehensively understanding these conversations and their underlying networks requires us to leverage tools from data science, machine learning, and natural language processing. In Chapter 2, we utilize methodology from network science to measure to what extent #BlackLivesMatter and #AllLivesMatter are "slacktivist" movements, and the effect this has on the diversity of topics discussed within these hashtags. In Chapter 3, we precisely quantify the ways in which the discourse of #BlackLivesMatter and #AllLivesMatter diverge through the application of information-theoretic techniques, validating our results at the topic level from Chapter 2. These entropy-based approaches provide the foundation for powerful automated analysis of textual data, and we explore more generally how they can be used to construct a human-in-the-loop topic model in Chapter 4. Our work demonstrates that there is rich potential for weaving together social science domain knowledge with computational tools in the study of language, networks, and social movements.
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Kjörling, Andreas. "Entropi i omorganisation." Thesis, Uppsala universitet, Sociologiska institutionen, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-402546.

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In this study, entropy in reorganisation is investigated due to the individual co-workers being an ever more important component of his or her contemporary organisation, where change and reorganisation is undertaken continuously. Earlier research regarding entropy in reorganisation have mainly been done from a financial perspective; diversification. Hence there is room for additional research, with the individual in focus, rather than the company portfolio. This study aims at enlighten the entropy prevalent trough lost information in reorganisation. With qualitative method and phenomenological onset, five respondents in different positions from Swedish and global organisations, have been interviewed about their and their co-workers experience of reorganisation. The study shows the discrepancy between, the by the management defined finish­, vs. when the co-workers sense that a reorganisation de factois finished. The study also shows how individual motivation, psychosocial health and work effort can be affected through loss of the three types of information; descriptive, operative and narrative.
I denna studien undersöks entropi i omorganisering mot bakgrund av att den individuella med­arbet­aren utgör en allt viktigare del av sin samtida organisation, där förändring och omorgani­sering sker kontinuerligt. Tidigare forskning kring entropi i omorganisering har främst gjorts ur ett finansiellt perspektiv, s.k. diversifieringsperpektiv. Således finns utrymme för ytterligare forskning med individen i fokus snarare än företagsportföljen. Studien syftar till att belysa den entropi som genom för­lorad informa­tion gör sig påtaglig i samband med omorganisering. Med kvalitativ metod och feno­men­ologisk ansats har fem respondenter, i olika positioner från svenska och globala organisa­tioner, inter­vjuats om sin och sina kollegors upplevelse av omorganisering. Studien påvisar en diskre­pansen mellan det av ledningen definierade färdigställandet respektive när medarbet­arna upplever att en omorganisa­tion de factoär klar. Här påvisas även hur individens motivation, psyko­­sociala hälsa och arbets­insats kan påverkas genom förlust av de identifierade tre typerna av information deskrip­tiv, operativ och narrativ.
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Bhattacharjee, Abhishek. "Measuring Influence Across Social Media Platforms: Empirical Analysis Using Symbolic Transfer Entropy." Scholar Commons, 2019. https://scholarcommons.usf.edu/etd/7745.

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Social media platforms are interconnected environments that influence each other. Information from one social media platform spreads to another. This thesis proposes a platform-independent framework to analyze information transfer across social media platforms. This thesis uses Symbolic Transfer Entropy and Statistical Significance Test to measure influence and optimize the time window of influence between different platforms. To validate the framework, the thesis analyses the temporal activity dynamics and the information transfer across three different platforms, Reddit, Twitter and GitHub. Two data driven studies are described in this thesis. The first study finds the optimum time windows of influence between the three platforms during two different cyber attack events on cryptocurrency exchanges. It finds that specific types of activities are more influential than others, and optimum time interval changes with pre, during, and post event days. The second study applies information revealed in the first study and specifically the optimal time window to link cross-platform information cascades from Twitter and Reddit. The case-study is a heuristic that, we show, can reduce the search space for connecting information cascades across different platforms.
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Lamba, Amrita. "The Effects of Uncertainty on Cooperation: using Bayesian Cognition and Entropy to Model Cooperative Heuristics." W&M ScholarWorks, 2017. https://scholarworks.wm.edu/etd/1516639680.

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Cooperative heuristics have traditionally been researched through the lens of standard dual-process models of cognition and from the perspective of evolutionary psychology. Despite the popularity of these approaches, research on intuitive versus extensional processing falls short in its endeavor to methodologically quantify heuristic processing and to empirically validate existing theories of social evaluation. Furthermore, several conceptualizations of the term heuristic have been proposed in the social psychology literature, leading to a lack of consensus on how cooperative heuristics function. to address these issues, the current study proposes a novel method for quantifying heuristic cognition. We propose a Bayesian cognition model of heuristics based on the free energy principle and present a framework for defining heuristics as Bayesian priors. to test our model, we ran an experiment on Amazon Mechanical Turk and used a modified version of the Prisoner’s Dilemma game. Overall, the results of experiment supported our theoretical predictions and our quantitative model of cooperative heuristics. Additionally, we found evidence to suggest that men and women respond differently to social uncertainty in cooperative exchanges.
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Watts, Jameson K. M., and Jameson K. M. Watts. "Language Consistency and Exchange: Market Reactions to Change in the Distribution of Field-level Information." Diss., The University of Arizona, 2015. http://hdl.handle.net/10150/556000.

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Markets are fluid. Over time, the dominant designs, processes and paradigms that define an industry invariably succumb to productive innovation or changes in fashion (Arthur, 2009; Schumpeter, 1942; Simmel, 1957). Take for example the recent upheaval of the cell phone market following Apple's release of the iPhone. When it was introduced in 2007, one could clearly differentiate Apple's product from all others; however, subsequent imitation of the iPhone produced a market in which nearly all cell phones look (and perform) alike. The iPhone was a harbinger of the new dominant design. These cycles of innovation and fashion are not limited to consumer markets. Business markets (often defined by longer term inter-firm relationships) are subject to similar transformations. For example, current practices in the biotechnology industry are quite distinct from those accompanying its emergence from university labs in the second half of the 20th century (Powell et al., 2005). Technologies that were once viewed as radical have undergone a process of legitimation and integration into mainstream healthcare delivery systems. Practices that were dominant in the 1980's gave way to newer business models in the 1990's and feedback from down-stream providers changed the way drugs were delivered to patients (Wolff, 2001).During periods of transition, market actors face great difficulty anticipating reactions to their behavior (practices, products, etc.). How they deal with this uncertainty is an interminable source of academic inquiry in the social sciences (see e.g. Alderson, 1965; Simon, 1957; Thompson, 1967) and, in a broad sense, it is the primary concern of the current work as well. However, I am focused specifically on the turmoil caused by transitions in technology, taste and attention over time--the disagreements which occur as market actors collectively shift their practices from one paradigm to the next (Powell and Colyvas, 2008). If innovations are assumed to arise locally and diffuse gradually (see e.g. Bass, 1969; Rogers, 2002), then transient differences in knowledge are a natural outcome. Those closest to, or most interested in an innovation will have greater knowledge than those furthest away or less involved. Thus, for a period following some shift in technology, taste or attention, market participants will vary in their knowledge and interpretation of the change. In the following chapters, I investigate the ramifications of this sort of knowledge heterogeneity on the exchange behavior and subsequent performance of market participants. It is the central argument of this thesis that this heterogeneity affects exchange by both limiting coordination and increasing quality uncertainty. The details of this argument are fleshed out in Chapters 1, 2 and 3 (summarized below), which build upon each other in a progression from abstract, to descriptive to specific tests of theory. However, each can also stand by itself as an independent examination of the knowledge-exchange relationship. The final chapter synthesizes my findings and highlights some implications for practitioners and further research. In Chapter 1, I review the history and development of Alderson's (1965) 'law of exchange' in the marketing literature and propose an extension based on insights from information theory. A concept called market entropy is introduced to describe the distribution of knowledge in a field and propositions are offered to explain the exchange behavior expected when this distribution changes. Chapter 2 investigates knowledge heterogeneity through its relation with written language. Drawing on social-constructionist theories of classification (Goldberg, 2012) and insights from research on the legitimation process (Powell and Colyvas, 2008), I argue for a measure of field-level consensus based on changes in the frequency distribution of descriptive words over time. This measure is operationalized using eleven years of trade journal articles from the biotech industry and is shown to support the propositions offered in Chapter 1. Chapter 3 builds on the arguments and evidence developed in Chapters 1 and 2 to test theory on the structural advantages of a firm's position in a network of strategic alliances. Prior work has documented returns to network centrality based on the premise that central firms have greater and more timely access to information about industry developments (Powell et al., 1996, 1999). However, other research claims that benefits to centrality accrue based on the signal that such a position provides about an actor's underlying quality (Malter, 2014; Podolny, 1993, 2005). I investigate this tension in the literature and offer new insights based on interactions between network position and the measure developed in Chapter 2.
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Gielniak, Michael Joseph. "Adaptation of task-aware, communicative variance for motion control in social humanoid robotic applications." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43591.

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An algorithm for generating communicative, human-like motion for social humanoid robots was developed. Anticipation, exaggeration, and secondary motion were demonstrated as examples of communication. Spatiotemporal correspondence was presented as a metric for human-like motion, and the metric was used to both synthesize and evaluate motion. An algorithm for generating an infinite number of variants from a single exemplar was established to avoid repetitive motion. The algorithm was made task-aware by including the functionality of satisfying constraints. User studies were performed with the algorithm using human participants. Results showed that communicative, human-like motion can be harnessed to direct partner attention and communicate state information. Furthermore, communicative, human-like motion for social robots produced by the algorithm allows humans partners to feel more engaged in the interaction, recognize motion earlier, label intent sooner, and remember interaction details more accurately.
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Delgado, Villanueva Kiko Alexi. "Methodological proposal for social impact assessment and environmental conflict analysis." Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/64063.

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[EN] Social impact assessment (SIA) is a part of environmental impact assessment (EIA), which is characterized by a high level of uncertainty and the subjective aspects that are presents in the methods used during its conduction. In addition, environmental conflict analysis (ECA) has become a key factor for the viability of projects and welfare of affected populations. In this thesis, an integrated method for SIA and ECA is proposed, by the combination of the grey clustering method and the entropy-weight method. SIA was performed using the grey clustering method, which enables qualitative information coming from a stakeholder group to be quantified. In turn, ECA was performed using the entropy-weight method, which identifies the criteria in which there is greater divergence between stakeholder groups, thus enabling to establish measures to prevent potential environmental conflicts. Then, in order to apply and test the proposed integrated method, two case studies were conducted. The first case study was a mining project in northern Peru. In this study, three stakeholder groups and seven criteria were identified. The results revealed that for the urban population group and the rural population group, the project would have a positive and negative social impact, respectively. For the group of specialists the project would have a normal social impact. It was also noted that the criteria most likely to generate environmental conflicts in order of importance were: access to drinking water, poverty, GDP per capita, and employment. The second case study considered was a hydrocarbon exploration project located in the Gulf of Valencia, Spain. In this study, four stakeholder groups and four criteria were identified. The results revealed that for the group of specialists the project would have a negative social impact, and contrary perceptions were shown between the group of those directly affected by the project and the group of citizens in favour. It was also noted that the criteria most likely to generate environmental conflict were the percentage of unemployment and GDP per capita. The proposed integrated method in this thesis showed great potential on the studied cases, and could be applied to other contexts and other projects, such as water resources management, industrial projects, construction projects, and to measure social impact and prevent conflicts during the implementation of government policies and programs.
[ES] La evaluación del impacto social (SIA) forma parte de la evaluación de impacto ambiental (EIA), y está caracterizada por su alto nivel de incertidumbre, y por los aspectos subjetivos presentes en los métodos usados para su realización. Por otro lado, el análisis del conflicto ambiental (ECA) se ha convertido en un factor clave para la viabilidad de los proyectos y el bienestar de la población afectada. En esta tesis, se propone un método integrado para la SIA y el ECA, mediante la combinación de los métodos grey clustering y entropy-weight. La SIA fue desarrollada usando el método grey clustering, el cual permite cuantificar la información cualitativa recogida de los grupos de interés o stakeholders. Sucesivamente, el ECA fue realizado usando el método entropy-weight, el cual identifica los criterios en los cuales existe gran divergencia entre los grupos de interés, permitiendo así establecer medidas para prevenir potenciales conflictos ambientales. Luego, con el fin de aplicar y testear el método integrado propuesto fueron realizados dos casos de estudio. El primer caso de estudio fue un proyecto minero ubicado en el norte de Perú. En este estudio se identificaron tres grupos de interés y siete criterios. Los resultados revelaron que para el grupo población urbana y el grupo población rural, el proyecto tendría un impacto social positivo y negativo, respectivamente. Para el grupo de los especialistas el proyecto tendría un impacto social normal. También fue notado que los criterios más probables de generar conflicto ambiental en orden de importancia fueron: acceso al agua potable, pobreza, PIB per cápita, y empleo. El segundo caso de estudio considerado fue un proyecto de exploración de hidrocarburos ubicado en el Golfo de Valencia, España. En este estudio se identificaron cuatro grupos de interés y cuatro criterios. Los resultados revelaron que para el grupo de los especialistas el proyecto tendría un impacto social negativo, y contrarias percepciones se encontraron entre el grupo de los directamente afectados y el grupo de los ciudadanos a favor. También fue notado que los criterios más probables de generar conflicto ambiental fueron el porcentaje de desempleo y el PIB per cápita. El método integrado propuesto en esta tesis mostró un gran potencial sobre los casos estudiados, y podría ser aplicado a otros contextos y otros tipos de proyectos, tales como gestión de recursos hídricos, proyectos industriales, proyectos de construcción de obras públicas, y para medir el impacto social y prevenir conflictos durante la aplicación de políticas y programas gubernamentales.
[CAT] L'avaluació de l'impacte social (SIA) és una part de l'avaluació de l'impacte ambiental (EIA), la qual està caracteritzada pel seu alt nivell d'incertitud i els aspectes subjectius presents en els mètodes amprats durant la seua conducció. A més, la anàlisis del conflicte ambiental (ECA) s'ha convertit en un factor clau per a la viabilitat dels projectes i el benestar de la població afectada. En esta tesis es proposa un mètode integrat per a l'avaluació de l'impacte social i la anàlisis del conflicte ambiental, mitjançant la combinació del mètode grey clustering i el mètode entropy-weight. L'avaluació de l'impacte social ha segut realitzada usant el mètode grey clustering, el qual permet que la informació qualitativa arreplegada dels grups d'interès siga quantificada. Successivament, la anàlisis del conflicte ambiental ha segut realitzada usant el mètode entropy-weight, el qual identifica els criteris en els quals existeix gran divergència entre els grups d'interès, la qual cosa permet establir mides per a prevenir conflictes ambientals potencials. Després, amb la finalitat d'aplicar i testejar el mètode integrat proposat han segut realitzats dos casos d'estudi. El primer d'ells ha segut un projecte miner al nord de Perú. En aquest estudi, tres grups d'interès i set criteris foren identificats. Els resultats revelaren que per al grup població-urbana i el grup població-rural, el projecte experimentaria un positiu i un negatiu impacte social respectivament. Per al grup dels especialistes el projecte tindria un impacte social normal. Per altra banda també va ser reconegut que els criteris més probables de generar conflicte ambiental en orde d'importància foren: accés a l'aigua potable, pobresa, PIB per càpita, i ofici. El segon cas d'estudi considerat va ser un projecte d'exploració d'hidrocarburs ubicat al Golf de València, Espanya. En este estudi, quatre grups d'interès i quatre criteris foren identificats. Els resultats revelaren que per al grup dels especialistes el projecte tindria un impacte social negatiu, mentre que entre el grup dels directament afectats i el grup dels ciutadans a favor es mostraren percepcions contraries. Va ser també reconegut que els criteris més probables de generar conflicte ambiental foren el percentatge de desocupació i el PIB per càpita. El mètode integrat proposat en aquesta tesis mostra un gran potencial sobre els casos estudiats, i pot ser aplicat a altres contexts i altres tipus de projectes com gestió de recursos hídrics, projectes industrials i projectes de construcció d'obres públiques. A més pot fer-se servir per mesurar l'impacte social i prevenir conflictes durant l'aplicació de polítiques i programes governamentals.
Delgado Villanueva, KA. (2016). Methodological proposal for social impact assessment and environmental conflict analysis [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/64063
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Zayani, Mohamed-Haykel. "Link prediction in dynamic and human-centered mobile wireless networks." Phd thesis, Institut National des Télécommunications, 2012. http://tel.archives-ouvertes.fr/tel-00787564.

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During the last years, we have observed a progressive and continuous expansion of human-centered mobile wireless networks. The advent of these networks has encouraged the researchers to think about new solutions in order to ensure efficient evaluation and design of communication protocols. In fact, these networks are faced to several constraints as the lack of infrastructure, the dynamic topology, the limited resources and the deficient quality of service and security. We have been interested in the dynamicity of the network and in particular in human mobility. The human mobility has been widely studied in order to extract its intrinsic properties and to harness them to propose more accurate approaches. Among the prominent properties depicted in the literature, we have been specially attracted by the impact of the social interactions on the human mobility and consequently on the structure of the network. To grasp structural information of such networks, many metrics and techniques have been borrowed from the Social Network Analysis (SNA). The SNA can be seen as another network measurement task which extracts structural information of the network and provides useful feedback for communication protocols. In this context, the SNA has been extensively used to perform link prediction in social networks relying on their structural properties. Motivated by the importance of social ties in human-centered mobile wireless networks and by the possibilities that are brought by SNA to perform link prediction, we are interested by designing the first link prediction framework adapted for mobile wireless networks as Mobile Ad-hoc Networks (MANETs) and Delay/Disruption Tolerant Networks (DTN). Our proposal tracks the evolution of the network through a third-order tensor over T periods and computes the sociometric Katz measure for each pair of nodes to quantify the strength of the social ties between the network entities. Such quantification gives insights about the links that are expected to occur in the period T+1 and the new links that are created in the future without being observed during the tracking time. To attest the efficiency of our framework, we apply our link prediction technique on three real traces and we compare its performance to the ones of other well-known link prediction approaches. The results prove that our method reaches the highest level of accuracy and outperforms the other techniques. One of the major contributions behind our proposal highlights that the link prediction in such networks can be made in a distributed way. In other words, the nodes can predict their future links relying on the local information (one-hop and two-hop neighbors) instead of a full knowledge about the topology of the network. Furthermore, we are keen to improve the link prediction performance of our tensor-based framework. To quantify the social closeness between the users, we take into consideration two aspects of the relationships: the recentness of the interactions and their frequency. From this perspective, we wonder if we can consider a third criterion to improve the link prediction precision. Asserting the heuristic that stipulates that persistent links are highly predictable, we take into account the stability of the relationships (link and proximity stabilities). To measure it, we opt for the entropy estimation of a time series proposed in the Lempel-Ziv data compression algorithm. As we think that our framework measurements and the stability estimations complement each other, we combine them in order to provide new link prediction metrics. The simulation results emphasize the pertinence of our intuition. Providing a tensor-based link prediction framework and proposing relative enhancements tied to stability considerations represent the main contributions of this thesis. Along the thesis, our concern was also focused on mechanisms and metrics that contribute towards improving communication protocols in these mobile networks [...]
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Rossi, Martina. "Opponent Modelling using Inverse Reinforcement Learning." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22263/.

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Un’area di ricerca particolarmente attiva ultimamente nel campo dell'intelligenza artificiale (IA) riguarda lo studio di agenti autonomi, notevolmente diffusi anche nella vita quotidiana. L'obiettivo principale è sviluppare agenti che interagiscano in modo efficiente con altri agenti o esseri umani. Di conseguenza, queste relazioni potrebbero essere notevolmente semplificate grazie alla capacità di dedurre autonomamente le preferenze di altre entità e di adattare di conseguenza la strategia dell'agente. Pertanto, lo scopo di questa tesi è implementare un agente, in grado di apprendere, che interagisce con un'altra entità nello stesso ambiente e utilizza questa esperienza per estrapolare le preferenze dell'avversario. Queste informazioni possono essere impiegate per cooperare o sfruttare l'interlocutore, a seconda dell'obiettivo dell'agente. Pertanto, i temi centrali sono il Reinforcement Learning, gli ambienti multi-agente e il Value alignment. L'agente presentato apprende tramite Deep Q-Learning e riceve una ricompensa che viene calcolata combinando i feedback dell’ambiente e il reward dell'avversario. Questi valori sono ottenuti eseguendo l'algoritmo Maximum Entropy Inverse Reinforcement Learning sulle interazioni precedenti. Il comportamento dell’agente proposto viene testato in due diversi ambienti: il gioco Centipede e il gioco Apple Picking. I risultati ottenuti sono promettenti poiché dimostrano che l'agente può dedurre correttamente le preferenze dell'avversario e utilizzare questa conoscenza per adattare la sua strategia. Tuttavia, il comportamento finale non sempre corrisponde alle aspettative; sono quindi analizzati i limiti dell'approccio attuale e i gli sviluppi futuri per migliorare l'agente.
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Vieira, Joice Melo 1980. "Transição para a vida adulta em São Paulo : cenários e tendências socio-demográficas." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/280644.

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Orientador: Maria Coleta F. A. de Oliveira
Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Filosofia e Ciencias Humanas
Made available in DSpace on 2018-08-13T05:46:12Z (GMT). No. of bitstreams: 1 Vieira_JoiceMelo_D.pdf: 1263074 bytes, checksum: de552ec197c3aad33e2e5818b19691ff (MD5) Previous issue date: 2009
Resumo: A transição para a vida adulta é um momento crítico do curso de vida dos sujeitos. É uma fase que se caracteriza por importantes mudanças de status, que assinalam de diferentes formas a passagem da condição de dependente à condição de independente. Do ponto de vista sócio-demográfico, as mudanças de status mais importantes são: a conversão do indivíduo de estudante em trabalhador, de membro dependente de um domicílio em chefe de domicílio, de solteiro em pessoa em união, de filho (a) em pai ou mãe. O principal objetivo é descrever e analisar o processo de transição para a vida adulta no Estado de São Paulo em dois momentos de alargamento da coorte jovem, 1970 e 2000. Tanto em um quanto em outro se observam as chamadas ondas jovens, apesar da diferença nos cenários sócio-demográficos no país e no Estado de São Paulo. Busca-se uma apreensão integrada da passagem para a vida adulta, refletindo sobre como fatores de ordem econômica e institucional podem influenciar motivações e decisões acerca de eventos da trajetória de vida dos indivíduos. As fontes de dados utilizadas foram os censos demográficos de 1970 e 2000. Do ponto de vista metodológico, a principal inovação consiste na aplicação da análise de entropia de coortes sintéticas. Com ela é possível mensurar a (des) padronização do curso da vida, além de descrever o ritmo da passagem para a vida adulta ao longo das idades consideradas jovens. Com vistas a explorar algumas dimensões da vida juvenil no Estado de São Paulo, são utilizadas as informações da Pesquisa de Condições de Vida de 2006. A principal contribuição deste estudo consiste em explorar os diferenciais encontrados no tempo de transição para a vida adulta. Determinadas características sóciodemográficas dos sujeitos - como o sexo, a situação de domicílio, a cor/raça e a camada de renda - estão claramente associadas ao tempo de juventude e ao ritmo das transições. A duração da transição, se mais curta ou mais longa, muda de acordo com essas variáveis sócio-demográficas. Uma questão pertinente é em que medida esta diversidade no processo de transição para a vida adulta é produto de desigualdades sociais e, concomitantemente, reprodutora dessas mesmas desigualdades.
Abstract: The transition to adulthood is a critical moment in the individuals' life courses. This stage is characterized by important status changes, which may be responsible for different roots in the passage from a dependent towards an independent condition. From a sociodemographic perspective, the more important status changes are that from a student to a working condition, from a dependent to a head of a household, from a single to a married status, and from the condition of a child to that of a mother or a father. Those are the dimensions selected for the analysis of the process of transition to adulthood in the State of São Paulo, focusing on two points in time, 1970 and 2000. These where moments in which young waves have occurred, due to demographic factors affecting age structures, especially fertility changes in the past. Young cohorts have increased in volume at both moments, facing different sociodemographic contexts at the time. The aim of this analysis is to develop an integrated approach of demographic factors as well as economic and institutional ones, in a way that the timing of the transitions can be described and individuals' motivations and decisions can be understood. The main data sources used are de demographic censuses of 1970 and 2000. In addition, data from the Survey of Life Conditions (PCV) of 2006 were also used. From the methodological point of view, the principal innovation of this study is the application of the analysis of entropy of synthetic cohorts to the Brazilian census data. Entropy measures give an image of the process of standardization / de-standardization of life courses, and make it possible to describe the pace of the transition to adulthood across time. The contribution of this doctoral thesis is to revel differences in the timing of the transitions and exploring their meaning in the context were they occur. The variables taken for this endeavor are sex, household position, color/race, and income level. A shorter or longer transition depends on these sociodemographic characteristics. The results show that differentials in the pace of transition to adulthood are both a result of and an influential factor on social inequality.
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Books on the topic "Social entropy"

1

Social entropy theory. Albany, N.Y: State University of New York Press, 1990.

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Sekine, Thomas T. "Entropy problem" and the future of our society. Toronto: York University Dept. of Economics, 1985.

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Forsé, Michel. L' ordre improbable: Entropie et processus sociaux. Paris: Presses universitaires de France, 1989.

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Sistemnyĭ podkhod i povyshenie ėffektivnosti upravlenii︠a︡. Moskva: Nauka, 2005.

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Korolev, Oleg, Mihail Kussyy, Anatoliy Sigal, Veniamin Livshic, and Evgeniy Solozhencev. The use of entropy in modeling decision-making processes in economics. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1865188.

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The monograph is devoted to the study of entropy, the history of this general scientific category, the development of its theory, various aspects of the application of entropy. Entropy — a measure of chaos — is one of the basic concepts of modern natural science. Having arisen in thermodynamics in the first half of the XIX century, the concept of entropy has found numerous applications in many branches of knowledge, including in other branches of physics, engineering, computer science, biology, economics, social sciences. Particular attention is paid to the evolution of views on the concept of entropy, various aspects of the use of entropy for modeling processes in financial markets, the methodology of recurrent analysis of time series in economics, as well as various aspects of the use of entropy for game-theoretic modeling of resource allocation processes. It will be useful to specialists in mathematical modeling, scientists and practitioners specializing in managerial decision-making, teachers, graduate students, students.
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Klapp, Orrin Edgar. Overload and boredom: Essays on the quality of life in the information society. New York: Greenwood Press, 1986.

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Césarman, Eduardo. Termodinámica de la vida. México: Gernika, 1997.

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Wędrowska, Ewa. Miary entropii i dywergencji w analizie struktur. Olsztyn: Wydawnictwo Uniwersytetu Warmińsko-Mazurskiego w Olsztynie, 2012.

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Gross, Andrew M. Giving good ghost: Ghost writing, the St. Maarten entropy diaries-- 1994-2000, 25 tall tales, reprinted columns and essays from the St. Maarten Guardian, 1995-1999. Oakland, Or: AXUM, 2001.

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The global imperative: An interpretive history of the spread of humankind. Boulder, Colo: Westview Press, 1997.

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Book chapters on the topic "Social entropy"

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Iversen, Patrick L. "Social Entropy." In Molecular Basis of Resilience, 19–44. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-98164-2_2.

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Mohan, Brij. "Entropy of Developmentalism." In Development, Poverty of Culture, and Social Policy, 31–46. New York: Palgrave Macmillan US, 2011. http://dx.doi.org/10.1057/9780230117655_3.

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Matei, Sorin Adam, and Brian C. Britt. "Social Structuration Online: Entropy and Social Systems." In Lecture Notes in Social Networks, 45–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64425-7_4.

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Hinrichsen, Haye, Tobias Hoßfeld, Matthias Hirth, and Phuoc Tran-Gia. "Entropy Production in Stationary Social Networks." In Complex Networks IV, 47–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36844-8_5.

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Peng, Sancheng, Jian Li, and Aimin Yang. "Entropy-Based Social Influence Evaluation in Mobile Social Networks." In Algorithms and Architectures for Parallel Processing, 637–47. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27119-4_44.

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Semenov, Alexander, Vladimir Boginski, and Eduardo L. Pasiliao. "Neural Networks with Multidimensional Cross-Entropy Loss Functions." In Computational Data and Social Networks, 57–62. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34980-6_5.

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Tang, Yiming, Jiajia Huang, Fuji Ren, Witold Pedrycz, and Guangqing Bao. "Intuitionistic Entropy-Induced Cooperative Symmetric Implicational Inference." In Computer Supported Cooperative Work and Social Computing, 142–54. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2540-4_11.

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Zhang, Siyu, Jiamou Liu, Yiwei Liu, Zijian Zhang, and Bakhadyr Khoussainov. "Improving Togetherness Using Structural Entropy." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 85–98. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99203-3_6.

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Sato, Aki-Hiro. "On Measuring Extreme Synchrony with Network Entropy of Bipartite Graphs." In Agent-Based Social Systems, 247–66. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-10-7194-2_16.

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Matei, Sorin Adam, Robert Bruno, and Pamela L. Morris. "Visible Effort: Visualizing and Measuring Group Structuration Through Social Entropy." In Transparency in Social Media, 109–23. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18552-1_6.

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Conference papers on the topic "Social entropy"

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Nieto-Chaupis, Huber. "The Tsallis Entropy as a Social Entropy." In 2019 IEEE 1st Sustainable Cities Latin America Conference (SCLA). IEEE, 2019. http://dx.doi.org/10.1109/scla.2019.8905535.

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Park, Jaehui, and Yunkyung Park. "Social Interaction Propensity Model Using Information Entropy." In 2013 International Conference on Cloud and Green Computing (CGC). IEEE, 2013. http://dx.doi.org/10.1109/cgc.2013.52.

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Zhang, Shusen, Xun Liang, Xiaoping Zhou, and Xuan Zhang. "Entropy-based Social Network Link Partition Algorithm." In 2018 2nd International Conference on Advances in Energy, Environment and Chemical Science (AEECS 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/aeecs-18.2018.41.

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Arbachauskas, V., A. Campa, and Y. Tarynin. "Turbulence and Entropy in Social and Economic Systems." In Proceedings of the International Scientific Conference "Far East Con" (ISCFEC 2018). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/iscfec-18.2019.234.

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Cruz, Juan David, Cecile Bothorel, and Francois Poulet. "Entropy based community detection in augmented social networks." In 2011 International Conference on Computational Aspects of Social Networks (CASoN 2011). IEEE, 2011. http://dx.doi.org/10.1109/cason.2011.6085937.

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Serin, E., and S. Balcisoy. "Entropy Based Sensitivity Analysis and Visualization of Social Networks." In 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012). IEEE, 2012. http://dx.doi.org/10.1109/asonam.2012.189.

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Chintalapudi, S. Rao, and M. H. M. Krishna Prasad. "Network entropy based overlapping community detection in social networks." In ICC '17: Second International Conference on Internet of Things, Data and Cloud Computing. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3018896.3025161.

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Sorkhoh, I., K. Mahdi, and M. Safar. "Cyclic Entropy of Complex Networks." In 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012). IEEE, 2012. http://dx.doi.org/10.1109/asonam.2012.182.

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Berestneva, Olga, Oxana Zharkova, Yakov Pekker, Olga Marukhina, Hatem Hassanin, and Konstantin Sharopin. "Entropy Methods Application For Biosystems State Analysis." In Information Technologies in Science, Management, Social Sphere and Medicine. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/itsmssm-16.2016.69.

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Kenley, Edward Casey, and Young-Rae Cho. "Entropy-Based Graph Clustering: Application to Biological and Social Networks." In 2011 IEEE 11th International Conference on Data Mining (ICDM). IEEE, 2011. http://dx.doi.org/10.1109/icdm.2011.64.

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Reports on the topic "Social entropy"

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Соловйов, Володимир Миколайович, Наталя Володимирівна Моісеєнко, and Олена Юріївна Тарасова. Complexity theory and dynamic characteristics of cognitive processes. Springer, January 2020. http://dx.doi.org/10.31812/123456789/4143.

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The features of modeling of the cognitive component of social and humanitarian systems have been considered. An example of using entropy multiscale, multifractal, recurrence and network complexity measures has shown that these and other synergetic models and methods allow us to correctly describe the quantitative differences of cognitive systems. The cognitive process is proposed to be regarded as a separate implementation of an individual cognitive trajectory, which can be represented as a time series and to investigate its static and dynamic features by the methods of complexity theory. Prognostic possibilities of the complex systems theory will allow to correct the corresponding pedagogical technologies. It has been proposed to track and quantitatively describe the cognitive trajectory using specially transformed computer games which can be used to test the processual characteristics of thinking.
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Berry, Steven, and Joel Waldfogel. Free Entry and Social Inefficiency in Radio Broadcasting. Cambridge, MA: National Bureau of Economic Research, April 1996. http://dx.doi.org/10.3386/w5528.

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Carter, Becky. Analysing Intersecting Social Inequalities in Crisis Settings. Institute of Development Studies (IDS), January 2022. http://dx.doi.org/10.19088/k4d.2022.003.

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Analysis of intersecting social inequalities is key to effective, inclusive interventions in crisis settings. Gender equality and social inclusion analytical frameworks provide key research questions and participatory methodologies which seek to understand: Who is excluded? How are they excluded? Why are they excluded? What can be done to address this and support greater inclusion? There is a focus on underlying power dynamics, drivers of marginalisation, and entry points for external support. This rapid review presents a summary of relevant analytical frameworks and good practice for analysing intersecting social inequalities in crisis settings. The focus is on how to undertake contextual analysis of the vulnerabilities and needs of people in crises that are shaped by overlapping and compounding social inequalities, arising from discrimination based on gender, age, disability, sexual orientation, gender identity and/or expression and sex characteristics, ethnicity and religion (among other identifiers). The review draws on and presents prior research that identified relevant analytical frameworks, learning and key resources on how to undertake this type of analysis, through a rapid literature search and input by key experts. It summarises a range of frameworks relevant for analysing intersecting social inequalities in crisis settings, developed for various development, humanitarian and peacebuilding objectives. It was harder to find published learning from undertaking this analysis that focuses specifically on crisis settings, but it was possible to draw findings from some individual case studies as well as relevant summaries of learning presented in the analytical frameworks and other guidance materials.
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Hsieh, Chang-Tai, and Enrico Moretti. Can Free Entry be Inefficient? Fixed Commissions and Social Waste in the Real Estate Industry. Cambridge, MA: National Bureau of Economic Research, September 2002. http://dx.doi.org/10.3386/w9208.

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Hegazi, Farah, and Katongo Seyuba. The Social Side of Climate Change Adaptation: Reducing Conflict Risk. Stockholm International Peace Research Institute, September 2022. http://dx.doi.org/10.55163/seyz9437.

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In developing countries, the effects of climate change interact with factors such as underdevelopment, high dependence on natural resource-based livelihoods, inequality, weak state institutions and marginalization to increase the risk of insecurity and violent conflict. Along with sustainable development and climate change mitigation, climate change adaptation is another key entry point for addressing climate-related security risks. However, key social factors that could positively influence adaptation outcomes and ultimately mitigate climate-related security risks are often overlooked. This SIPRI Policy Brief offers insights into the importance of social capital for facilitating climate change adaptation and preventing and resolving natural resource-related communal conflict in developing countries. The policy brief recommends: (a) improving trust between communities and governments through collaborative processes for knowledge exchange, setting priorities and determining appropriate climate change adaptation practices; and (b) increasing knowledge of climate change among traditional and local leaders to strengthen local conflict resolution mechanisms.
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Tinsley, Brian, Sarah Cacicio, Zohal Shah, Daniel Parker, Odelia Younge, and Christina Luke Luna. Micro-credentials for Social Mobility in Rural Postsecondary Communities: A Landscape Report. Digital Promise, March 2022. http://dx.doi.org/10.51388/20.500.12265/151.

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This landscape report explores the impact of earning micro-credentials on the social mobility of rural learners. Through four in-depth case studies, we show how earning micro-credentials may lead to credential attainment, workforce entry, promotions, and/or economic improvements (e.g., salary increase, prioritizing learners impacted by poverty), particularly for Black, Latino, and Indigenous populations, as well as women. All of the initiatives emphasize the need for strong regional partnerships across educational sectors and deeper efforts to engage communities of color to lead to greater impact. Preliminary research indicates that micro-credentials can—and in some cases, do—lead to job promotions, higher wages, and an increase in self-confidence for rural learners.
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Hammond, Kay, and Catherine Powell. Entry-level tertiary student perceptions of challenges when using a wiki: Trust and peer teaching. Unitec ePress, September 2017. http://dx.doi.org/10.34074/ocds.12017.

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Wikis are widely used in blended learning educational settings with varying degrees of success. Scholarly attention increasingly regards student perceptions and experiences of using wikis as part of ongoing development. Students in entry-level education often belong to high-needs target groups who particularly require positive experiences for a successful transition into tertiary education. This paper reports action research exploring the use of a wiki by certificate-level students at a tertiary institution. The results showed most students did not engage with the wiki. Qualitative student feedback revealed valuable insight into two major social challenges when interacting online: trust and difficulties with peer-teaching. Recommendations are made regarding these social challenges that should be considered by educators aiming to use a wiki or other collaborative online learning and teaching spaces for entry-level education.
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Wong, Melanie, Tania Beekmans, Fuatino Taliaoa, and Liam M. Oades. Effectiveness of the Breaking Ground Programme in Transforming Parenting Skills and Practice. Unitec ePress, November 2021. http://dx.doi.org/10.34074/rsrp.093.

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The Breaking Ground programme was an 18-month pilot programme to support families and parents in a mana-enhancing process while developing parenting skills and practices, focused on intensive family intervention. Practitioners worked alongside families who were on a trajectory towards having their children placed in state care, with the goal of preventing entry to such care. This research uses a case-study methodology with data collected through interviews with social workers and families involved in the programme. The aims of this research were: 1) to examine the effectiveness of social workers working with families on the Breaking Ground programme; and 2) to examine the effectiveness of social workers providing cultural support for the families on the programme.
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Sett, Dominic, Florian Waldschmidt, Alvaro Rojas-Ferreira, Saut Sagala, Teresa Arce Mojica, Preeti Koirala, Patrick Sanady, et al. Climate and disaster risk analytics tool for adaptive social protection. United Nations University - Institute for Environment and Human Security, March 2022. http://dx.doi.org/10.53324/wnsg2302.

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Adaptive Social Protection (ASP) as discussed in this report is an approach to enhance the well-being of communities at risk. As an integrated approach, ASP builds on the interface of Disaster Risk Management (DRM), Climate Change Adaptation (CCA) and Social Protection (SP) to address interconnected risks by building resilience, thereby overcoming the shortcomings of traditionally sectoral approaches. The design of meaningful ASP measures needs to be informed by specific information on risk, risk drivers and impacts on communities at risk. In contrast, a limited understanding of risk and its drivers can potentially lead to maladaptation practices. Therefore, multidimensional risk assessments are vital for the successful implementation of ASP. Although many sectoral tools to assess risks exist, available integrated risk assessment methods across sectors are still inadequate in the context of ASP, presenting an important research and implementation gap. ASP is now gaining international momentum, making the timely development of a comprehensive risk analytics tool even more important, including in Indonesia, where nationwide implementation of ASP is currently under way. OBJECTIVE: To address this gap, this study explores the feasibility of a climate and disaster risk analytics tool for ASP (CADRAT-ASP), combining sectoral risk assessment in the context of ASP with a more comprehensive risk analytics approach. Risk analytics improve the understanding of risks by locating and quantifying the potential impacts of disasters. For example, the Economics of Climate Adaptation (ECA) framework quantifies probable current and expected future impacts of extreme events and determines the monetary cost and benefits of specific risk management and adaptation measures. Using the ECA framework, this report examines the viability and practicality of applying a quantitative risk analytics approach for non-financial and non-tangible assets that were identified as central to ASP. This quantitative approach helps to identify cost-effective interventions to support risk-informed decision making for ASP. Therefore, we used Nusa Tenggara, Indonesia, as a case study, to identify potential entry points and examples for the further development and application of such an approach. METHODS & RESULTS: The report presents an analysis of central risks and related impacts on communities in the context of ASP. In addition, central social protection dimensions (SPD) necessary for the successful implementation of ASP and respective data needs from a theoretical perspective are identified. The application of the quantitative ECA framework is tested for tropical storms in the context of ASP, providing an operational perspective on technical feasibility. Finally, recommendations on further research for the potential application of a suitable ASP risk analytics tool in Indonesia are proposed. Results show that the ECA framework and its quantitative modelling platform CLIMADA successfully quantified the impact of tropical storms on four SPDs. These SPDs (income, access to health, access to education and mobility) were selected based on the results from the Hazard, Exposure and Vulnerability Assessment (HEVA) conducted to support the development of an ASP roadmap for the Republic of Indonesia (UNU-EHS 2022, forthcoming). The SPDs were modelled using remote sensing, gridded data and available global indices. The results illustrate the value of the outcome to inform decision making and a better allocation of resources to deliver ASP to the case study area. RECOMMENDATIONS: This report highlights strong potential for the application of the ECA framework in the ASP context. The impact of extreme weather events on four social protection dimensions, ranging from access to health care and income to education and mobility, were successfully quantified. In addition, further developments of CADRAT-ASP can be envisaged to improve modelling results and uptake of this tool in ASP implementation. Recommendations are provided for four central themes: mainstreaming the CADRAT approach into ASP, data and information needs for the application of CADRAT-ASP, methodological advancements of the ECA framework to support ASP and use of CADRAT-ASP for improved resilience-building. Specific recommendations are given, including the integration of additional hazards, such as flood, drought or heatwaves, for a more comprehensive outlook on potential risks. This would provide a broader overview and allow for multi-hazard risk planning. In addition, high-resolution local data and stakeholder involvement can increase both ownership and the relevance of SPDs. Further recommendations include the development of a database and the inclusion of climate and socioeconomic scenarios in analyses.
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Bielinskyi, Andriy, Serhiy Semerikov, Oleksandr Serdiuk, Victoria Solovieva, Vladimir Soloviev, and Lukáš Pichl. Econophysics of sustainability indices. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4118.

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In this paper, the possibility of using some econophysical methods for quantitative assessment of complexity measures: entropy (Shannon, Approximate and Permutation entropies), fractal (Multifractal detrended fluctuation analysis – MF-DFA), and quantum (Heisenberg uncertainty principle) is investigated. Comparing the capability of both entropies, it is obtained that both measures are presented to be computationally efficient, robust, and useful. Each of them detects patterns that are general for crisis states. The similar results are for other measures. MF-DFA approach gives evidence that Dow Jones Sustainability Index is multifractal, and the degree of it changes significantly at different periods. Moreover, we demonstrate that the quantum apparatus of econophysics has reliable models for the identification of instability periods. We conclude that these measures make it possible to establish that the socially responsive exhibits characteristic patterns of complexity, and the proposed measures of complexity allow us to build indicators-precursors of critical and crisis phenomena.
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